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Vincenzo Randazzo

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Open access Aug 2026

Experimental Evaluation of a Cascaded SoC–SoH Deep Learning Framework for Lithium-Ion Battery Management Systems

Accurate estimation of battery state indicators, particularly State of Charge (SoC) and State of Health (SoH), remains a fundamental requirement for advanced BMS, directly affecting safety, reliability, operational efficiency, and battery lifetime. Recent advances in deep learning have demonstrated promising results fo...

Vincenzo Randazzo, E. Pasero, Maximilian Bonaccorsi et al. · 0 citations
Open access Jul 2026

Interpretable Short‐Term Electric Load Forecasting

This study presents an effective TFT‐based model for day‐ahead STLF in terms of interpretability and forecasting performance.

Alessandro Nicola, Giorgia Ghione, Vincenzo Randazzo et al. · 0 citations

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